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Artificial Neuron Modelling Based on Wave Shape

Authors
  • Greer, Kieran
Type
Published Article
Publication Date
Mar 05, 2014
Submission Date
Mar 05, 2014
Identifiers
arXiv ID: 1403.1073
Source
arXiv
License
Yellow
External links

Abstract

This paper describes a new model for an artificial neural network processing unit or neuron. It is slightly different to a traditional feedforward network by the fact that it favours a mechanism of trying to match the wave-like 'shape' of the input with the shape of the output against specific value error corrections. The expectation is then that a best fit shape can be transposed into the desired output values more easily. This allows for notions of reinforcement through resonance and also the construction of synapses.

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